Three-dimensional reconstruction and segmentation of intact Drosophila by ultramicroscopy
- PMID: 20204156
- PMCID: PMC2831709
- DOI: 10.3389/neuro.06.001.2010
Three-dimensional reconstruction and segmentation of intact Drosophila by ultramicroscopy
Abstract
Genetic mutants are invaluable for understanding the development, physiology and behaviour of Drosophila. Modern molecular genetic techniques enable the rapid generation of large numbers of different mutants. To phenotype these mutants sophisticated microscopy techniques are required, ideally allowing the 3D-reconstruction of the anatomy of an adult fly from a single scan. Ultramicroscopy enables up to cm fields of view, whilst providing micron resolution. In this paper, we present ultramicroscopy reconstructions of the flight musculature, the nervous system, and the digestive tract of entire, chemically cleared, drosophila in autofluorescent light. The 3D-reconstructions thus obtained verify that the anatomy of a whole fly, including the filigree spatial organization of the direct flight muscles, can be analysed from a single ultramicroscopy reconstruction. The recording procedure, including 3D-reconstruction using standard software, takes no longer than 30 min. Additionally, image segmentation, which would allow for further quantitative analysis, was performed.
Keywords: Drosophila; flight muscle; imaging; light sheet microscopy; morphology; phenotyping; segmentation; ultramicroscopy.
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References
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- Dietzl G., Chen D., Schnorrer F., Su K.-C., Barinova Y., Fellner M., Gasser B., Kinsey K., Oppel S., Scheiblauer S., Couto A., Marra V., Keleman K., Dickson B. J. (2007). A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature 448, 151–15610.1038/nature05954 - DOI - PubMed
-
- Ghazi A., Anant S., VijayRaghavan K. (2000). Apterous mediates development of direct muscles autonomously and indirect flight muscles through epidermal cues. Development 127, 5309–5318 - PubMed
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